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The Use of Analytical Isoelectric Focusing for Detection and Identification of -Lactamases

MATTHEW, M., HARRIS, A. M., MARSHALL, M. J., ROSS, G. W.·1975·Journal of General Microbiology

Abstract

BETA-Lactamases (EC. 3.5.2.6) from strains of Gram-negative bacteria have been studied using analytical isoelectric focusing. This permits a visual comparison of the patterns of beta-lactamase bands produced by enzymes from different organisms. Purification of crude intracellular preparations is unnecessary and the technique is sufficiently sensitive to demonstrate beta-lactamase in mutants previously reported to lack the enzyme. R that have not been distinguished from one another biochemically or immunologically can be differentiated by isoelectric focusing. Conversely, the enzymes specified by the R factors RTEM, R1 and RGN14, with identical isoelectric focusing patterns have the same biochemical properties. Chromosomal and R-factor-mediated beta-lactamases from single strains have been separated and their identities confirmed by immunoisoelectric focusing. R factor-mediated enzymes gave identical isoelectric focusing patterns irrespective of the host strain. Isoelectric focusing can therefore be used to observe the transfer of beta-lactamases carried by R factors.

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Metadata

Authors
MATTHEW, M., HARRIS, A. M., MARSHALL, M. J., & ROSS, G. W.
Venue
Journal of General Microbiology
Published
1975-05-01
Volume
88
Issue
1
Pages
169-178
ISSN
0022-1287 (ISSN-L)
OpenAlex
W2002178722
Cited by
688
References
0
FWCI
8.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Use of Analytical Isoelectric Focusing for Detection and Identification of -Lactamases. https://app.cochat.ai/papers/10.1099/00221287-88-1-169
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MATTHEW, M., HARRIS, A. M., MARSHALL, M. J., & ROSS, G. W. (1975). The Use of Analytical Isoelectric Focusing for Detection and Identification of -Lactamases. Journal of General Microbiology. https://doi.org/10.1099/00221287-88-1-169

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.